Introduction
So you think you can count?
Section 1
(Thurs, Jun 24)
Counting practice
INDEPENDENCE DAY OBSERVED!
Chain Rule, Independence, Conditional Independence
Linearity of Expectation, Variance
Section 4
(Thurs, Jul 15)
Random Variables and Linearity of Expectation
Variance, Independence of RVs
Zoo of Discrete RVs continued
Continuous RVs and its Zoo
Continuous RVs Zoo continued
Normal Distribution, Intro to CLT
Section 6
(Thurs, Jul 29)
Continous RV, Zoo, Normal Distribution and CLT
Markov's and Chebyshev's Inequality
Joint Distributions and Tail Bounds
Maximum Likelihood Estimation
More Maximum Likelihood Estimation
Section 8
(Thurs, Aug 12)
Maximum Likelihood Estimation
How to Lie with Statistics
Applications in Computational Biology and Explainable AI
Section 9
(Thurs, Aug 19)
NO SECTION! Final Interviews.
NO CLASS! Final Interviews.
Note that content for future lectures is subject to change.
This course website is derived from the site in Spring 2021, which in
turn heavily
follows the example of the website of CSE 373
Spring 2019.